Forecast Error Series

Problem

Given paired lists of actual values and forecasts, return the one-step forecast errors actual[t] - forecast[t] as a list.

The lists are assumed to be aligned and of equal length; zip truncates to the shorter one.

Hint

Positive errors mean the actual value came in above the forecast.

case 1

in: [[10,12,14],[11,11,11]]

expected: [-1,1,3]

case 2

in: [[5],[5]]

expected: [0]

case 3

in: [[1,2,3],[3,2,1]]

expected: [-2,0,2]

Starter codePython

def forecast_errors(actual, forecast):
    # Your code here
    pass

3 test cases · run your code against them in the editor